CN-Protect Desktop

Software that allows you to create privacy-protected datasets that satisfy HIPAA, GDPR and other privacy regulations while preserving analytical value

Privacy Compliance- Apply consistent privacy protection

Data Science on privacy-protected data- Optimize privacy protection while preserving analytical value

Easy to use and adopt – Available with a graphical UI and integrates into your data science stack



CN-Protect App

Generate a privacy-protected dataset that satisfies HIPAA, GDPR and other privacy regulations while preserving  analytical value

 

Compliance – Apply consistent privacy protection

Data Science on privacy-protected data- Optimize privacy protection while preserving data quality

Easy to use and adopt – Available with a graphical UI and integrates into your data science stack





Current approaches to de-identify data such as masking, tokenization, and aggregation can leave data unprotected or without analytical value. CN-protect leverages AI and the most advanced anonymization techniques, such as optimal k-Anonymity and Differential Privacy, to protect your data and maintain analytical value.



Features

Level of Protection

Select or customize a protection scheme that satisfies your privacy needs

Privacy Risk

Understand the probability of re-identifying individuals in your data



Information Loss

Understand the impact of de-identification on the analytical value of your data

Register to receive in your email a link to download the free version of CN-Protect



Use cases

Realizing the potential of healthcare data

A large healthcare network wanted to unlock analytical value from patient data while complying with privacy regulations.

With CN-Protect they were able to preserve the granularity of the relevant analytical data elements while protecting all the identifying attributes, ensuring compliance.

Enable new business partnerships cheaply and quickly

One of the largest aggregators of credit card transaction data wanted to significantly improve data utility of its assets but it had to be done in a way that was privacy compliant and safeguarded consumer information.

With CN-Protect they were able to derive the same analytical value as before privacy protection was applied.

Privacy protected access to data lake without sacrificing data quality

A Re-Insurance company wants to broaden access to its data lake without compromising data privacy, preserving analytical value, and at reasonable infrastructure costs.

With CN-Protect they improved data access for teams without adding excessive infrastructure costs while reducing the risk of consumer information exposure.

Crash Course on Privacy

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Do You Know What Your Data is Worth?

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How Google Can Solve its Privacy Problems

Google and the University of Chicago's Medical Center have made headlines for the wrong reasons.  According to a June 26th New York Times report, a lawsuit filed in the US District Court for Northern Illinois alleged that a data-sharing partnership between the...

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FaceApp and Facebook: Under the Magnifying Glass

FaceApp is Under Heavy Scrutiny After Making a Comeback The U.S. government has aired its concerns regarding privacy risks with the new trending face-editing photo app, FaceApp. With the 2020 Presidential Elections campaigns underway, the FBI and Federal Trade...

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